AIMC Topic: Cesarean Section
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Deep neural network (DNN) modelling for prediction of the mode of delivery.
European journal of obstetrics, gynecology, and reproductive biology
Apr 10, 2024
One of the factors that worry obstetricians the most is the method of delivery. In recent years, the rate of caesarean sections has steadily climbed and now exceeds the threshold advised by medical organizations. Obstetricians typically lack the tool...
Machine learning model based on RCA-PDCA nursing methods and differentiating factors to predict hypotension during cesarean section surgery.
Computers in biology and medicine
Apr 2, 2024
BACKGROUND: Intraoperative hypotension during cesarean section has become a serious complication for maternal and fetal healthy. It is commonly encountered by subarachnoid anesthesia. However, currently used control methods have varying degrees of si...
Predicting preterm birth using explainable machine learning in a prospective cohort of nulliparous and multiparous pregnant women.
PloS one
Dec 27, 2023
Preterm birth (PTB) presents a complex challenge in pregnancy, often leading to significant perinatal and long-term morbidities. "While machine learning (ML) algorithms have shown promise in PTB prediction, the lack of interpretability in existing mo...
Robot-assisted laparoscopic repair of cesarean scar defect: a systematic review of clinical evidence.
Journal of robotic surgery
Nov 27, 2022
We aim to assess the available evidence concerning the robot-assisted repair of cesarean scar defect. A systematic PubMed and Scopus search was conducted. All databases were assessed up to May 23, 2022. Studies reporting data on robot-assisted repair...
RU-Net: An improved U-Net placenta segmentation network based on ResNet.
Computer methods and programs in biomedicine
Oct 28, 2022
BACKGROUND: In recent years, with the increase of late puerperium, cesarean section and induced abortion, the incidence of placenta accreta has been on the rise. It has become one of the common clinical diseases in obstetrics and gynecology. In clini...
Robotic repair of a branching vesicouterine and vesicovaginal fistula.
International urogynecology journal
Sep 28, 2022
INTRODUCTION AND HYPOTHESIS: We present technical considerations and tips for repairing a complex branching vesicouterine and vesicovaginal fistula via a robotic approach.
Correlation between an annotation-free embryo scoring system based on deep learning and live birth/neonatal outcomes after single vitrified-warmed blastocyst transfer: a single-centre, large-cohort retrospective study.
Journal of assisted reproduction and genetics
Jul 26, 2022
PROPOSE: Does an annotation-free embryo scoring system based on deep learning and time-lapse sequence images correlate with live birth (LB) and neonatal outcomes?
Robot-assisted laparoscopy repair of uterine isthmocele: A two-center observational study.
International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Jul 6, 2022
OBJECTIVE: To analyze outcomes and postoperative complications in patients undergoing robot-assisted isthmocele repair.
Applying Automated Machine Learning to Predict Mode of Delivery Using Ongoing Intrapartum Data in Laboring Patients.
American journal of perinatology
Jun 25, 2022
OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict the probability of a vaginal delivery (Partometer) using data iteratively obtained during labor from the electronic health record.
Robotic vaginal natural orifice transluminal endoscopic myomectomy.
Fertility and sterility
Jun 9, 2022
OBJECTIVE: To describe a novel, minimally invasive technique for performing myomectomy, a fertility-sparing procedure.
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